Browse by author
Lookup NU author(s): Junyi Wu, Dr Nianzhong Chen
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2017 Taylor & Francis Group, London. Fatigue assessment for Offshore Floating Wind Turbines (OFWTs) subjected to random environmental loads has been a crucially important issue in design phase. The traditional lumping approach for fatigue assessment of offshore structures is normally applied in the pure hydrodynamic loading rather than taking wind-wave correlations into account. An improved lumping approach is proposed in the present paper in which the joint probability distribution of wind and wave climates of a specific site is accounted for. The unit fatigue damage is calculated by means of fully coupled dynamic analysis, and then the stress ranges on the wind turbine tower base are achieved through rainflow counting technique which is subsequent in compliance with S-N curves to determine cycles to failure at different stress range levels. After that, the joint probability of each block is figured out through joint probability density function of wind and waves linked to North Sea. Finally, the damage for each unit is obtained by scaling the unit damage with the corresponding probability. An example application is given in the paper to calculate fatigue damage for a NREL 5MW spar-type wind turbine tower base.
Author(s): Wu J, Chen N-Z
Editor(s): Carlos Guedes Soares and Y. Garbatov
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Progress in the Analysis and Design of Marine Structures: Proceedings of the 6th International Conference on Marine Structures (MARSTRUCT 2017)
Year of Conference: 2017
Pages: 899-904
Online publication date: 24/04/2017
Acceptance date: 02/04/2016
Publisher: CRC Press/Balkema
URL: https://doi.org/10.1201/9781315157368-101
DOI: 10.1201/9781315157368-101
Library holdings: Search Newcastle University Library for this item
ISBN: 9781138069077